Tag: platform
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🤖 Platform Teams and Developers Clash Over Kubernetes Self-Service Boundaries
Original: Developers and platform teams both want Kubernetes self-service. They disagree on who owns it. – Chris J. Preimesberger. Summarized by AI on September 25, 2026. While both developers and platform teams desire Kubernetes self-service, they fundamentally disagree on operational boundaries. Giving developers direct access to raw Kubernetes APIs merely shifts the burden of debugging…
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Understanding ChatGPT Work
Reverse engineering OpenAI’s sprawling agentic AI PaaS. 🔗 Understanding ChatGPT Work
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Enterprise Architects Must Choose: Agentic Runtime Architecture Or Agent Sprawl
Governance buried in agent code doesn’t scale. When guardrails live inside individual agents or a single vendor’s platform, every policy change becomes a refactoring project. Autonomous software demands governance that is centralized and enforced at runtime. 🤖: nine-component reference architecture underneath it — event handler, context manager, toolbox, model repository, agent factory, orchestrator, optimization manager,…
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Platform as a Product, 9 years later
Nine years after the platform as a product paper first came out, Caleb Washburn and I went through what changed. The answer is mostly “not much,” and the good bit is why developers keep asking for Kubernetes clusters they don’t actually want.
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Reframing the AI-native SDLC in terms of stewardship boundaries
To make AI agents succeed, we must inject very clear, tightly constrained context. This is where the platform patterns we popularized in Team Topologies become essential. A well-designed internal platform acts like a “vending machine,” providing self-service, reliable access to clean data, APIs, and operational capabilities. By reducing cognitive load on human teams and narrowing…
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IDC White Paper: Self-Service Private Cloud as the Engine for In-House AI and Application Innovation
An IDC white paper making the case for self-service private cloud as the basis for in-house AI, reporting that 100% of organizations surveyed are building or planning generative or agentic AI applications. It identifies ticket-driven infrastructure provisioning as the operational bottleneck. Summarized by AI. 🔗 IDC White Paper: Self-Service Private Cloud as the Engine for…
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Three reasons why a “batteries included” platform is urgently needed right now
Removing product as a bottleneck: The conversation around PaaS is urgent again, and AI is why. Code generation can speed up your development cycles, building and pushing features faster, but production delays will persist if you’re still deploying at the same speed as before. To avoid eroding the benefits of code generation, you need to deploy…
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Buy your platform, AI edition
Building an internal agentic AI platform in banking or insurance demands a multi-year orchestration engineering commitment with a regulatory surface area that most organizations underestimate. [Bryan Ross] Tinkers and opexmaxxers take in huge risks when they decide to build their own platforms. And it usually fails, for at least seven reasons. 🔗 The hidden cost…
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Kubernetes is the bottleneck, and you can get through it with a platform
Photo by Daniel Bryant. Another great KubeCon talk from Abby Bangser imploring the Kubernetes people to remember how important platforms are: they make all of his stuff usable for developers and valuable to the organizations that run it all. Without a platform, you’re just put another bottleneck in place. Also, see the go she started,…
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Your Boss Doesn’t Know What to Do With AI Enterprise AI Has a Product-Market Fit Problem. Enterprise AI isn’t stalled because the models are weak. It’s stalled because we haven’t discovered product-market fit inside the enterprise yet. You don’t find real AI value by theorizing in workshops. You find it by running experiments for months…
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How much does it cost to build an internal developer platform? – Tanzu Catsup
This week’s Tanzu Catsup is about how much you need to pay people to build your own internal developer platform: I think building your own platform is a terrible idea, especially for larger organizations. My co-host Tony ran the platform for Home Depot and now talks with other platform teams a lot, so I wanted…
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A project is what IBM delivered at e&. Custom integration, IBM Consulting on-site, bespoke architecture tailored to one customer’s requirements. It works, but it doesn’t scale. Every enterprise becomes its own implementation, with its own timeline, its own integration challenges, its own dependency on consulting availability. “A platform is repeatable. Channel partners can sell it.…
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Why people build their own platforms anyway – resume-driven development and the joy of building
Every list of reasons to build your own platform leaves off the real ones: resume-driven development, and that builders like building things. Do you fight that, or adapt the platform philosophy to it?
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Kubernetes, AI, and platform engineering, build, build, build
AI is here. It’s hungry. It’s expensive. And Kubernetes is the only thing big enough to feed it. … Kubernetes is no longer the platform for apps. It’s becoming the substrate for AI-driven systems. And then you add platform engineering to build a platform around it for self-service access to AI, so long as you…
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Feels a little bit like a platform standard so powerful that you need an AI front-end to make it usable by mere mortals.
Yes: Kubernetes started as a way to orchestrate containers, but its true innovation lies in its API model. The declarative resource pattern, with its desired state, actual state and continuous reconciliation, has proven to be a universal abstraction. It works for workloads, infrastructure, policies and more. That universality is why Kubernetes has become the foundation…
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How Tanzu Platform Fixes the AI Deployment Problem
You need a proper AI platform: Interested? Try a 90 day trial of the Tanzu Platform: https://trytanzu.ai.
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Larry’s AI
Larry’s pitch for a full-stack, private cloud AI platform. And, here, you can see someone trying to explain more. 🔗 Ellison’s AI vision for Oracle – robot surgeons meet enterprise data reality


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